Blog
Your Data Deserves Better: Understanding When to Use EFA or PCA
If you’ve ever opened SPSS -> Dimensionality Reduction -> Factor and wondered whether to click “Principal Axis Factoring” (aka EFA) or “Principal Components,” (aka PCA) you’re not alone. These two methods sit side-by-side, look almost identical, and are often mixed up—even in published research. But they serve very different purposes, especially when we’re trying to understand psychological constructs. In this post, I’ll walk you through what those differences are and why they matter.
I-O Psychology Career Resource Guide
Navigating a career in Industrial-Organizational Psychology can feel overwhelming, but the right resources can make all the difference. This guide provides a comprehensive overview of career paths, job search strategies, hiring companies, and application tips to help students confidently transition into the workforce.
From Text to Predictions: Using LLMs for NLP Tasks
This blog post walks you through using the transformers library to import pre-trained large language models (LLM) and its tokenizer. You’ll learn how to tokenize text, extract word embeddings from different hidden layers, and use these embeddings in machine learning models for prediction.
Making Training Stick: Insights from a Meta-Analysis on Training Transfer
Transfer of training is a major challenge for organizations. Drawing on a seminal meta-analysis (Blume et al., 2010), this blog explores key factors that contribute to effective training transfer, providing insights to bridge the gap between training and on-the-job performance.
